Instructions to use GraydientPlatformAPI/bigasp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bigasp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/bigasp", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 82de971ca0b6350421385e0d4fe4a5bc7c772044b2c84970ffd6491d173d5b90
- Size of remote file:
- 246 MB
- SHA256:
- 7006c31f749773dd99925fe8cc971133e2a87f63b25203269715068a33478df1
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